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Text-Based Active Authentication for Mobile Devices

2014; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-642-55415-5_9

1868-422X

Hataichanok Saevanee, Nathan Clarke, Steven Furnell, Valerio Biscione,

Digital Communication and Language

As modern mobile devices are increasing in their capability and accessibility, they introduce additional demands in terms of security - particularly authentication. With the widely documented poor use of PINs, Active Authentication is designed to overcome the fundamental issue of usable and secure authentication through utilizing biometric-based techniques to continuously verify user identity. This paper proposes a novel text-based multimodal biometric approach utilizing linguistic analysis, keystroke dynamics and behavioral profiling. Experimental investigations show that users can be discriminated via their text-based entry, with an average Equal Error Rate (EER) of 3.3%. Based on these findings, a framework that is able to provide robust, continuous and transparent authentication is proposed. The framework is evaluated to examine the effectiveness of providing security and user convenience. The result showed that the framework is able to provide a 91% reduction in the number of intrusive authentication requests required for high security applications.